Online Python Training in Turkey

Python serves as the foundational language for developing and orchestrating autonomous AI agents. This course emphasizes practical implementation using contemporary SDKs and frameworks, such as LangChain and AutoGen, to construct, integrate, and manage agent workflows.

This instructor-led, live training (available online or onsite) is designed for intermediate-level backend engineers, platform engineers, and ML engineers who aim to implement and orchestrate autonomous agents using Python tooling and APIs.

Upon completion of this training, participants will be able to:

• Set up and configure Python-based environments for agentic systems.
• Leverage popular agent SDKs like LangChain and AutoGen to create functional agents.
• Integrate tools and APIs to expand agent capabilities.
• Orchestrate multi-agent workflows and communication patterns.
• Apply best practices for debugging, testing, and maintaining agentic codebases.

Format of the Course

• Interactive lecture and discussion.
• Hands-on programming exercises and live demos.
• Practical projects building end-to-end agent workflows.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This course delivers practical engineering methods for designing, constructing, validating, and deploying autonomous (agentic) systems using Python. It explores the agent loop, tool integrations, memory and state management, orchestration patterns, safety controls, and production-level considerations.

Delivered as an instructor-led live session (available online or onsite), this training is tailored for intermediate to advanced ML engineers, AI developers, and software engineers looking to build robust, production-ready autonomous agents in Python.

Upon completion of this training, participants will be capable of:

• Designing and implementing agent loops and decision-making workflows.
• Integrating external tools and APIs to expand agent functionality.
• Implementing both short-term and long-term memory structures for agents.
• Coordinating multi-step orchestrations and ensuring agent composability.
• Applying best practices for safety, access control, and observability in deployed agents.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focused on building agents using Python and popular SDKs.
• Project-based exercises resulting in deployable prototypes.

Customization Options

• To arrange customized training for this course, please reach out to us.

The "Artificial Intelligence with Python" course focuses on developing intelligent systems by leveraging Python’s extensive ecosystem of AI and machine learning libraries.

This instructor-led live training, available online or onsite, is designed for intermediate-level Python programmers looking to design, implement, and deploy AI solutions using Python.

Upon completion of this training, participants will be able to:

• Implement AI algorithms using Python’s core AI libraries.
• Work with supervised, unsupervised, and reinforcement learning models.
• Integrate AI solutions into existing applications and workflows.
• Evaluate model performance and optimize for accuracy and efficiency.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises and practice.
• Practical implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Turkey (online or onsite) is aimed at intermediate-level Python developers who wish to enhance their Python development experience using AWS Cloud9.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for Python development.
• Understand the AWS Cloud9 IDE interface and features.
• Write, debug, and deploy Python applications in AWS Cloud9.
• Collaborate with other developers using the AWS Cloud9 platform.
• Integrate AWS Cloud9 with other AWS services for advanced deployments.

This instructor-led, live training in Turkey (online or onsite) targets expert-level data analysts who wish to leverage Python's data analysis capabilities within Power BI, enhancing their ability to analyze and visualize data effectively.

By the end of this training, participants will be able to:

• Learn how Python can be integrated into Power BI for data analysis.
• Use Python scripts to load, clean, and preprocess data within the Power BI environment.
• Enhance data visualization capabilities by creating custom and interactive visualizations using Python.
• Acquire advanced data analysis skills using Python.

Python is a versatile programming language widely used for data manipulation, automation, and analytics. Libraries like Pandas and Polars provide powerful, practical tools for working with tabular data at scale.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to apply Python for everyday data analysis, file processing, and process automation using Pandas and Polars.

By the end of this training, participants will be able to:

• Use Python to read, transform, and write CSV and Excel files.
• Perform common data cleaning and transformation tasks with Pandas and Polars.
• Automate repetitive data processes with Python scripts.
• Package simple scripts into executables and follow best practices for projects.

Format of the Course

• Interactive coding demonstrations and short lectures.
• Hands-on exercises with guided code examples.
• Practical mini-projects to automate real-world tasks.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This intensive, hands-on course covers advanced Python techniques, engineering best practices, and commonly used design patterns to build maintainable, testable, and high-performance Python applications. It emphasizes modern tooling, typing, concurrency models, architecture patterns, and deployment-ready workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level Python developers who wish to adopt professional practices and patterns for production-grade Python systems.

By the end of this training, participants will be able to:

• Apply Python typing, dataclasses, and type-checking to increase code reliability.
• Use design patterns and architecture principles to structure robust applications.
• Implement concurrency and parallelism correctly using asyncio and multiprocessing.
• Build well-tested code with pytest, property-based testing, and CI pipelines.
• Profile, optimize, and harden Python applications for production.
• Package, distribute, and deploy Python projects using modern tools and containers.

Format of the Course

• Interactive lectures and short demos.
• Hands-on labs and coding exercises each day.
• Capstone mini-project integrating patterns, testing, and deployment.

Course Customization Options

• To request a customized training or focus area (data, web, or infra), please contact us to arrange.

This instructor-led, live training in Turkey (online or onsite) is aimed at beginner-level developers and data analysts who wish to learn Python programming from scratch using Google Colab.

By the end of this training, participants will be able to:

• Grasp the fundamentals of the Python programming language.
• Write and run Python code within the Google Colab environment.
• Employ control structures to direct the flow of Python programs.
• Develop functions to structure and reuse code efficiently.
• Explore and apply basic Python libraries.

This instructor-led live training, offered online or onsite, targets developers who want to utilize the FARM stack (FastAPI, React, and MongoDB) to build dynamic, high-performance, and scalable web applications.

By the end of this training, participants will be able to:

• Configure the necessary development environment integrating FastAPI, React, and MongoDB.
• Understand the key concepts, features, and benefits of the FARM stack.
• Learn how to build REST APIs with FastAPI.
• Learn how to design interactive applications with React.
• Develop, test, and deploy applications (front end and back end) using the FARM stack.

This instructor-led, live training in Turkey (online or onsite) is designed for robotics developers with beginner to intermediate skills, and potentially advanced-level practitioners, who wish to learn how to program mobile robots using ROS and Python.

By the end of this training, participants will be able to:

• Set up a development environment that includes ROS, Python, and a mobile robot platform.
• Create and run ROS nodes, topics, services, and actions using Python.
• Use ROS tools and utilities to monitor and debug ROS applications.
• Use ROS packages and libraries to perform common tasks for mobile robots.
• Integrate ROS with other frameworks and tools.
• Troubleshooting and debugging ROS applications.

This course is tailored for individuals eager to master the Python programming language. The curriculum focuses primarily on the Python language itself, its core libraries, and the selection of the most valuable tools developed by the vibrant Python community. Python is a globally popular programming language, driving businesses and scientific research worldwide.

The course is delivered using the latest Python 3.x version, featuring practical exercises that leverage its full capabilities. It is compatible with all major operating systems, including various UNIX distributions (such as Linux and macOS), as well as Microsoft Windows.

Approximately 70% of the course time is dedicated to practical exercises, while the remaining 30% consists of demonstrations and presentations. Participants are encouraged to engage in discussions and ask questions throughout the training.

Note: The training content can be customized to meet specific requirements, provided prior notice is given before the scheduled course date.

This instructor-led, live training in Turkey (online or on-site) is designed for developers eager to master advanced Python programming techniques. Participants will learn how to leverage this versatile language to address challenges in areas such as distributed applications, data analysis and visualization, UI development, and maintenance scripting.

This course is tailored for individuals eager to master the Python programming language. The curriculum focuses on Python itself, its core libraries, and highlights the selection of the most valuable and effective libraries contributed by the Python community. Widely adopted by businesses and scientists globally, Python stands out as one of the most popular programming languages in the world.

This instructor-led, live training in Turkey is rooted in Al Sweigart's bestselling book, "Automate the Boring Stuff with Python." Designed for beginners, it covers fundamental Python programming concepts through practical exercises and interactive discussions. The primary goal is to teach participants how to write code that significantly boosts office productivity.

Upon completing this training, attendees will be able to program in Python and apply their new skills to:

• Automate routine tasks by creating simple Python scripts.
• Develop programs capable of text pattern recognition using "regular expressions".
• Programmatically generate and update Excel spreadsheets.
• Parse PDFs and Word documents.
• Crawl websites and extract information from online sources.
• Create programs that send email notifications.
• Utilize Python's debugging tools to quickly resolve issues.
• Programmatically control the mouse and keyboard to click and type on your behalf.

In this instructor-led, live training in Turkey, participants will learn the most relevant and cutting-edge machine learning techniques in Python as they build a series of demo applications involving image, music, text, and financial data.

By the end of this training, participants will be able to:

• Implement machine learning algorithms and techniques for solving complex problems.
• Apply deep learning and semi-supervised learning to applications involving image, music, text, and financial data.
• Push Python algorithms to their maximum potential.
• Use libraries and packages such as NumPy and Theano.

This instructor-led, live training in Turkey (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

By the end of this training, participants will be able to:

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code.

This course aims to equip participants with practical proficiency in applying Machine Learning techniques. Leveraging Python and its extensive ecosystem of libraries, along with numerous hands-on examples, learners will master the essential components of Machine Learning. The curriculum covers making informed data modeling decisions, interpreting algorithmic outputs, and validating results effectively.

Our objective is to empower you with the confidence to utilize fundamental Machine Learning tools while steering clear of common pitfalls associated with Data Science applications.

Python has become increasingly popular within the financial sector, embraced by leading investment banks and hedge funds to develop a diverse array of applications, from core trading platforms to risk management systems.

Through this instructor-led live training, participants will acquire the skills necessary to leverage Python for creating practical solutions to specific financial challenges.

Upon completion of this training, participants will be able to:

• Grasp the fundamental concepts of the Python programming language
• Download, install, and manage the optimal development tools for building financial applications in Python
• Choose and apply the most appropriate Python libraries and programming techniques to organize, visualize, and analyze financial data from various sources (such as CSV, Excel, databases, web APIs, etc.)
• Develop applications that address issues such as asset allocation, risk analysis, and investment performance
• Troubleshoot, integrate, deploy, and optimize Python-based applications

Audience

• Developers
• Analysts
• Quants

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

• While this training addresses key challenges faced by finance professionals, participants with specific topics, tools, or techniques they wish to explore further should contact us to arrange customized content.

This course offers a hands-on exploration of Data Science and AI through Python, empowering professionals with the expertise to analyze data, construct machine learning models, and implement AI-powered applications within business environments. The curriculum spans CRISP-DM methodologies, statistical analysis, supervised and unsupervised learning, deep learning with TensorFlow, natural language processing, big data processing with Spark, and data-driven storytelling. It is ideally suited for beginners pursuing a Python data science certification and seeking career-focused analytics training.

This course empowers programmers and data analysts with the essential techniques for constructing machine learning solutions from the ground up using Python. It explores the fundamental principles of supervised learning, including classification and regression, as well as unsupervised learning methods such as clustering and anomaly detection, alongside advanced neural network architectures. The curriculum reviews established practices for utilizing scikit-learn, Apache Spark MLlib, and Jupyter notebooks to facilitate practical AI development. It enables professionals to implement effective ML models, assess algorithm constraints, and execute applied projects designed to solve real-world challenges.

Selenium is an open-source framework designed for automating web application testing across various browsers. With the release of Selenium 4, users gain access to enhanced WebDriver APIs, native relative locators, and improved grid support. Python complements this toolkit with its simplicity and robust integration with testing frameworks such as Pytest, making it a powerful choice for creating scalable and maintainable test automation suites.

This instructor-led live training, available either online or onsite, targets beginner to intermediate testers and developers who aim to leverage Selenium with Python to automate web application testing in real-world scenarios.

Upon completing this training, participants will be equipped to:

• Install and configure Selenium alongside Python within a testing environment.
• Develop robust test automation scripts using Selenium WebDriver and Pytest.
• Apply the Page Object Model (POM) to create maintainable test frameworks.
• Execute tests across multiple browsers using Selenium Grid.
• Integrate automated tests into CI/CD pipelines.
• Troubleshoot common issues and implement best practices to ensure automation stability.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange details.

This instructor-led, live training in Turkey (online or onsite) is aimed at Matlab users who wish to explore and or transition to Python for data analytics and visualization.

By the end of this training, participants will be able to:

• Install and configure a Python development environment.
• Understand the differences and similarities between Matlab and Python syntax.
• Use Python to obtain insights from various datasets.
• Convert existing Matlab applications to Python.
• Integrate Matlab and Python applications.

This instructor-led, live training in Turkey (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..

By the end of this training, participants will be able to:

• Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
• Analyze data from sources such as Excel, CSV, JSON files and databases.
• Clean data to improve its usefulness before analyzing it.
• Perform simple statistical analysis.
• Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
• Gain valuable insight from data, including trends in performance, problematic areas.

Course Overview

This practical training program is tailored for data engineering professionals aiming to develop hands-on expertise in artificial intelligence, Python, and large language models. The curriculum emphasizes real-world applications, focusing on model utilization, prompt engineering, and the creation of AI-driven solutions. Participants will engage in a series of progressive exercises that transition from foundational concepts to the construction of deployable AI workflows.

Training Format

• In-person classroom instruction

 • Instructor-led sessions featuring guided practice

• Interactive discussions and real-world case studies

 • Daily practical exercises

Course Objectives

• Grasp core AI and machine learning principles applicable to contemporary systems

 • Enhance Python proficiency for AI development and data processing

• Comprehend the mechanics of large language models and effective utilization strategies

• Design and refine prompts to ensure consistent and reliable outputs

• Develop end-to-end AI solutions utilizing APIs and frameworks

 • Seamlessly integrate AI capabilities into data engineering pipelines

This instructor-led, live training in Turkey (online or onsite) is targeted at developers who want to utilize FastAPI with Python to build, test, and deploy RESTful APIs with greater speed and ease.

By the end of this training, participants will be able to:

• Configure the necessary development environment for developing APIs with Python and FastAPI.
• Create APIs more quickly and easily using the FastAPI library.
• Learn how to create data models and schemas based on Pydantic and OpenAPI.
• Connect APIs to a database using SQLAlchemy.
• Implement security and authentication in APIs using the FastAPI tools.
• Build container images and deploy web APIs to a cloud server.

This instructor-led, live training in Turkey (online or onsite) targets data scientists aiming to use TensorFlow for analyzing potential fraud data.

By the conclusion of this training, participants will be able to:

• Create a fraud detection model using Python and TensorFlow.
• Build linear regression models to predict fraud.
• Develop an end-to-end AI application for analyzing fraud data.

This instructor-led live training in Turkey (available online or on-site) is designed for network engineers who wish to maintain, manage, and design computer networks using Python.

Upon completion of this training, participants will be able to:

• Optimize and utilize Paramiko, Netmiko, Napalm, Telnet, and pyntc for network automation with Python.
• Master multi-threading and multiprocessing techniques in network automation.
• Employ GNS3 and Python for network programming tasks.

This instructor-led, live training in Turkey (online or onsite) is aimed at business professionals and data analysts with intermediate Python skills who wish to apply Python to automate workflows, analyze business data, and generate dynamic Excel-based reports.

This guided, real-time training (available online or at your location) is designed for experienced professionals.

Course Structure

• Engaging lectures and interactive discussions.
• Extensive practical exercises and drills.
• Direct implementation within a live laboratory setting.

Customization Opportunities

• To arrange a tailored training session for this course, please get in touch with us.

Computer Vision is a domain focused on the automatic extraction, analysis, and comprehension of valuable insights from digital media. Python stands out as a high-level programming language renowned for its clear syntax and high code readability.

In this instructor-led live training, participants will master the fundamentals of Computer Vision by building a series of simple applications using Python.

By the conclusion of this training, participants will be capable of:

• Gaining a solid understanding of Computer Vision basics
• Implementing Computer Vision tasks using Python
• Developing custom systems for face, object, and motion detection

Audience

• Python programmers looking to explore Computer Vision

Format of the course

• A blend of lectures, discussions, exercises, and extensive hands-on practice

This practical course is tailored for Unix and shell users aiming to boost their automation capabilities through the use of Python. While shell scripting is effective for straightforward tasks, Python offers substantially more flexibility, readability, and scalability for handling complex automation, system administration, and DevOps workflows.